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norbert2-finetuned-comments
Haldis/norbert2-finetuned-comments
norbert2-finetuned-comments is a fill-mask model from Haldis. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- Nov 19, 2022
- Updated
- Nov 21, 2022
- SHA
- e519a7f0
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
norbert2-finetuned-comments
This model is a fine-tuned version of ltgoslo/norbert2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8562
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 17
- eval_batch_size: 17
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7115 | 1.0 | 1030 | 3.2753 |
| 3.248 | 2.0 | 2060 | 3.0974 |
| 3.0825 | 3.0 | 3090 | 3.0759 |
| 2.992 | 4.0 | 4120 | 3.0478 |
| 2.8956 | 5.0 | 5150 | 2.9340 |
| 2.8315 | 6.0 | 6180 | 2.9893 |
| 2.7772 | 7.0 | 7210 | 2.9035 |
| 2.7037 | 8.0 | 8240 | 2.8797 |
| 2.6431 | 9.0 | 9270 | 2.8799 |
| 2.6345 | 10.0 | 10300 | 2.8809 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Tokenizers 0.13.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Created
- Nov 19, 2022
- Updated
- Nov 21, 2022